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2018 Research Exhibition

MSI held the ninth annual Research Exhibition on April 17, 2018. The event included a panel discussion about careers in HPC-related fields, presentations by industry representatives about current and emerging technologies, and a judged poster session. A new feature this year was the chance to see...

Accessing Software Resources

MSI provides access to approximately 400 software packages. To find out if a particular software package is installed, you can browse or search a list of the software packages that MSI provides under the Help and Documentation section of this website. The MSI webpage includes descriptions of...

Itasca Already Providing Big Boost to Researchers

In Summer 2010, MSI made available to its users its newest supercomputer, named Itasca, and Itasca is already making a world of difference to researchers at the university. Charles Campbell, a University of Minnesota physics and astronomy professor uses MSI to study layered quantum magnets. He says...

What are the software service levels?

Software is classified according to two service levels: Primary Support Secondary Support Primary Support These are the major software packages supported by the Minnesota Supercomputing Institute. In the case of application software, a Primary Support software is one that is widely utilized by MSI...

Hydrological Modeling

<h3 class="red">Hydrological Modeling</h3><p>This group uses different computational models to investigate connections between the hydrological cycle and other aspects of the environment.&nbsp; Current projects mainly employ two different models. The first is the reactive-transport model PHT3D, which couples the groundwater model MODFLOW with the transport model MT3DMS and geochemical model PHREEQC. The researchers are using PHT3D in a study investigating the influence of groundwater on how sulfate loading in Minnesota streams and lakes may be affecting wild rice. Simulations represent multiple geochemical components that interact through many coupled reactions and complex flow in a 2D to 3D domain, thus requiring significant computational resources for model testing and calibration. The group is also using PHT3D to model sulfate release from taconite mining basins to surrounding groundwater and surface water systems. Plans for arsenic modeling based on new chemical analytical data are also in place for 2016.</p><p>The second main model used by this group is the Community Land Model (CLM), which is the land-surface model component in NCAR&#39;s Community Earth System (CESM). This model will be implemented statewide over Minnesota to assess how changing vegetation conditions impact groundwater recharge. A major task will be to condition the model on satellite observations of vegetation conditions and groundwater level data from the state&#39;s observation well network. Conditioning the model requires ensemble simulations over the entire state that must be carried out on an HPC system.</p><p>Return to this PI&#39;s <a href="">main page</a>.</p>
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High-Performance and Big Data Research

<h3 class="red">High-Performance and Big Data Research</h3><p>This group&#39;s research during 2015 focused on the development of parallel shared-memory graph partitioning, ordering, and clustering algorithms that use the multilevel paradigm. Graph partitioning is used widely for parallel task scheduling and data distribution. Graph ordering is used reducing the amount of computation and memory required for sparse direct numerical methods. Graph clustering is a widely used technique for discovering relationships between data points by creating groups of unconstrained size with high internal connectivity. Access to MSI&#39;s HPC resources has been critical in the development of these algorithms as evaluating the scalability of the algorithms requires machines with a large number of compute cores, and many of the graphs/matrices in these domains reach massive size, requiring large amounts of memory.</p><p>The group&#39;s work in 2016 focuses on developing hybrid shared/distributed memory codes that can effectively utilize compute architectures composed of many multicore nodes. This work will be an extension of the researchers&#39; past work on shared and distributed memory graph partitioning, ordering, and clustering. Part of this will include ensuring their methods scale to very large numbers of processing cores. These methods will be required for partitioning, ordering, and clustering problems on the next generation of large petascale and exascale machines, which will have millions of processing cores.</p><p>Return to this PI&#39;s <a href="">main page</a>.</p><p>&nbsp;</p>
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LATIS: Supporting Research Computing in the Liberal Arts

<h3 class="red">LATIS: Supporting Research Computing in the Liberal Arts</h3><p>The Liberal Arts Techologies and Innovation Services (LATIS) works to enhance research and scholarship by integrating appropriate technologies into the workflow of faculty, staff, and students. While LATIS is well positioned within the College of Liberal Arts (CLA) to provide the resources, tools, and expertise over infrastructure and software engineering, pedagogy, media, and social science research methods, their mandate is much broader. They strive to engage the broader scientific community in the issues that face the liberal arts, and they encourage their users to view their compute- and data-intensive tasks not only as as an integral component of their study design, but one that could benefit from communities outside of their own.</p><p>Part of this challenge is to convince CLA scholars to view their questions in the light of what HPC can offer, and when appropriate, to bring in the the resources MSI has at its disposal. Accordingly, this Principal Investigator uses MSI access to keeping abreast of the technologies and software MSI supports, to design proof-of-concepts directly on MSI&#39;s infrastructure, to consult with CLA clients on the appropriate use of MSI resources, and to make the transition between LATIS environments and MSI environments as clean as possible.</p><p>Return to this <a href="">PI&#39;s main page</a>.</p>
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April 2018 Maintenance

MSI has scheduled an extended downtime for all HPC systems starting Tuesday, April 3, 2018, at 6:00 pm. April's extended downtime is required in order to complete the migration of all user data onto new primary storage hardware. The extended time is needed because we will be moving data from our...

Modeling Forest Biotic Dynamics

As the earth’s climate changes, scientists are concerned about the effects these changes will have on the earth’s ecosystems. Regents Professor Peter B. Reich ( Forest Resources , Institute on the Environment ) and post-doctoral researcher Emily Peters ( Institute on the Environment ) specialize in...